Mews-Labs Numeric Toolbox
A toolbox to factorize some code utilities across various projects.
Install
The package requires Python 3.11 or above and is available on PyPI:
python3 -m pip install pyntb
The optional dependencies used in the examples in the Github repository can be installed at the same time by typing instead:
python3 -m pip install pyntb[examples]
Content
geoutils- implementation of haversine distance which works on numpy arrays with an option to change the sphere radius
optimize- a bisection algorithm that work on numpy array inputs
- a copy of
scipy.optimize.fixed_pointthat deals with nan values - a 2D, quasi-newton algorithm that works with numpy array inputs
polynomial- find roots of 2nd and 3rd order polynomials with numpy array inputs
Examples
See examples directory for more details.
Metadata
Release files for Pyntb 2026.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyntb-2026.1.1.tar.gz | 11.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyntb-2026.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.4 kB
Release files / pyntb-2026.1.1.tar.gz
| Download URL | pyntb-2026.1.1.tar.gz |
|---|---|
| Size | 11.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
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Transparency logRelease files / pyntb-2026.1.1-py3-none-any.whl
| Download URL | pyntb-2026.1.1-py3-none-any.whl |
|---|---|
| Size | 11.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a355926e55e8448e459a33d783c87308b19ac5797903f643f514c22949a8d16f
|
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BLAKE2b-256 checksum How to use checksums |
fae9c418296e2ebf21a2a35bbdc25a3d06ed70ae78509c22f36ea50bef3bd253
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency log